• Lead-level backend ownership • Make architecture decisions independently • Design systems with long-term scalability in mind • Implement backend solutions using NestJS and TypeScript • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Set and enforce quality standards across code • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, and testing strategy

• Lead-level backend ownership • Make architecture decisions independently • Design systems with long-term scalability in mind • Turn ambiguous product needs into production-ready backend solutions • Use AI to move fast while maintaining judgment around architecture, correctness, security, performance, and reliability • Design and own backend services in NestJS and TypeScript • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Define technical direction • Set and enforce quality standards • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, testing strategy, and developer productivity

• Design, develop, and optimize backend systems for real-time data processing and web services. • Work with cross-functional teams to integrate backend components with other services, ensuring performance and scalability. • Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements. • Conduct performance tuning, debugging, and testing of backend systems to ensure reliability and efficiency. • Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects. • This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions. • Mentor junior developers, helping all team members grow in our mission, values and abilities.

Role Description SOSi is seeking a Kubernetes Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. - Configure, deploy, and maintain Kubernetes clusters tailored for each IL environment (IL2, IL4, IL5), ensuring support for ESRI ArcGIS services and integration with agency-provided infrastructure from WO-001. - Develop and manage Helm charts and Kubernetes Operators for declarative deployment and automated scaling of ESRI services, including Notebook Server and GeoAnalytics Server. - Configure persistent volume claims and provision container-native storage (e.g., AWS EBS, Azure Disks) to support ESRI workloads, ensuring durability and compliance with backup and recovery policies. - Integrate Kubernetes-native monitoring and logging solutions (e.g., Prometheus, Fluentd, or OpenTelemetry) to support observability and IL-compliant reporting across environments. Qualifications - Bachelor's degree in Computer Science, Cloud Computing, or a related field, or; five (5) years of equivalent experience in Kubernetes administration. - Demonstrated experience in deploying and managing Kubernetes clusters, troubleshooting containerized applications, and implementing service mesh architectures such as Istio or Linkerd. - Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible is required. - Possess the knowledge and capability to design, deploy, and manage containerized applications in a cloud-native environment using Kubernetes. - Proficient in Kubernetes cluster orchestration, container networking, Helm chart deployment, and automation of CI/CD pipelines. - Strong knowledge of cloud infrastructure services (AWS, Azure, GCP), security best practices, and Kubernetes monitoring/logging tools (Prometheus, Grafana, ELK stack) is required. Requirements - Desirable but not required certifications include Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer – Professional, or Google Cloud Professional Cloud DevOps Engineer. Benefits - Work Environment: Offsite/remote. - Must have strong internet connection. - Quiet workspace free from interruptions and background noise. Additional Information - All interested individuals will receive consideration and will not be discriminated against for any reason. - Clearance Requirement: None. - Compensation: USD 79451 - USD 165013 yearly.